A Generalized Approach to Linear Methods of Feature Extraction

Abstract

An approach to feature extraction based on functions of the class correlation matrices is described. If linear functions of the correlation matrices are chosen, the present method extends the methods of feature extraction proposed by Fukunaga and Koontz. If certain types of non-linear functions are employed, the method reduces to the orthogonal subspace method of Watanabe and Pakvasa. Optimization of selected features through selection of appropriate functions is discussed briefly. Preliminary results of classification of radar signatures using the feature extraction methods described here are presented.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 1974
Accession Number
ADA004212

Entities

People

  • Charles W. Therrien

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Ballistic Missiles
  • Ballistic Trajectories
  • Classification
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Extraction
  • Feature Extraction
  • Machine Learning
  • Observation
  • Optimization
  • Pattern Recognition
  • Radar Signatures
  • Step Functions
  • Three Dimensional
  • Weighting Functions

Readers

  • Analytical Chemistry
  • Calculus or Mathematical Analysis
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms